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Inspiring a convergent engineering approach to measure and model the tissue microenvironment
Rishyashring R Iyer1, Catherine C Applegate2, Opeyemi H Arogundade3
1Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Heliyon
|July 8, 2024
Summary
This review integrates engineering principles from various sciences to comprehensively study the tissue microenvironment (TiME). It highlights how these integrated approaches can advance understanding of TiME dynamics in health and disease.
Area of Science:
- Biomedical Engineering
- Tissue Microenvironment Research
- Multidisciplinary Science Integration
Background:
- The tissue microenvironment's (TiME) complexity and spatiotemporal organization present significant research challenges.
- Current advancements in studying TiME often occur in isolated fields, limiting comprehensive analysis.
Purpose of the Study:
- To provide an integrative overview of engineering principles for probing, sensing, modeling, and fabricating the TiME.
- To connect emerging technologies across chemical, optical, electrical, mechanical, and computational sciences.
Main Methods:
- Summarizing principles, capabilities, and scope of emerging engineering technologies.
- Reviewing breakthrough discoveries and innovations enabled by these technologies.
- Integrating diverse engineering approaches for a holistic view of the TiME.
Main Results:
- Detailed overview of engineering tools applicable to TiME research.
- Identification of innovations and discoveries across multiple scientific domains.
- Perspectives on applying integrated engineering to critical questions in disease and development.
Conclusions:
- An integrated engineering approach is crucial for fully understanding the TiME.
- This review bridges disciplinary gaps, offering a unified perspective on TiME research.
- Highlights the scientific and educational importance of interdisciplinary TiME studies.
Keywords:
BioengineeringBioimagingBiomaterialsBiomedical devicesBiosensingBiotechnologyComputational biologyInterdisciplinary research
